AAAI Announces Newly-Elected Fellows

For Immediate Release

AAAI Announces Newly-Elected Fellows

July 1, 2009
8:00 AM Pacific Time
Menlo Park, Calif.

Each year a small number of distinguished AI researchers are elected AAAI Fellows by the membership of AAAI for their unusual distinction in the profession and for their sustained contributions to the field for a decade or more.

The following individuals join this outstanding group of individuals in the AI field. (For a complete list of AI Fellows please see http://www.aaai.org/Awards/fellows-list.php.)

William W. Cohen, Carnegie Mellon University and Google
For significant contributions to many aspects of the theory and practice of machine learning.

Andrew K. McCallum, University of Massachusetts, Amhert
For significant contributions to the theory and application of information extraction, natural language processing, data mining, machine learning, and their integration.

Dan Roth, University of Illinois at Urbana/Champaign
For significant contributions to the foundations of machine learning and inference and to developing learning-centered solutions to natural language problems.

Robert E. Schapire, Princeton University For significant contributions to machine learning, including the theory and practice of boosting.

Venkatramanan Siva Subrahmanian, University of Maryland, College Park For significant contributions to the study of probabilistic databases, logic programming and agent-based systems.

Pascal R. Van Hentenryck, Brown University
For significant contributions to constraint satisfaction and reasoning under uncertainty, the development of the widely used CHIP, Numerica, OPL, and Comet systems, and his pioneering role in the inception of constraint programming and its integration in operations research.

An official dinner and ceremony will be held in their honor during the IJCAI-09 Conference (http://www.ijcai-09.org) in Pasadena, California, USA later on in July.

About AAAI

Founded in 1979, the Association for the Advancement of Artificial Intelligence (formerly the American Association for Artificial Intelligence) (www.aaai.org) is a nonprofit scientific membership society devoted to advancing the science and practice of AI. Its mission is to: (1) advance the scientific understanding of the mechanisms underlying intelligent thought and behavior, (2) facilitate their embodiment in machines, (3) serve as an information resource for research planners and the general public concerning trends in AI, and (4) offer training for the current and coming generations of AI researchers and practitioners. The Association sponsors a number of conferences and workshops each year.